Digital Library

of the European Council for Modelling and Simulation



A Non-Modular Cellular DEVS Model Of The Degradation Of

A Cultivated Soil Surface By Rainfall


Gilles Valette, Stéphanie Prévost, Laurent Lucas, Joël Léonard

Published in:


ECMS 2008 Proceedings

Edited by: Loucas S. Louca, Yiorgos Chrysanthou, Zuzana Oplatkova, Khalid Al-Begain


ISBN: 978-0-9553018-6-5

Doi: 10.7148/2008


22nd European Conference on Modelling and Simulation,

Nicosia, June 3-6, 2008


Citation format:

Valette, G., Prevost, S., Lucas, L., & Leonard, J. (2008). A Non-Modular Cellular DEVS Model Of The Degradation Of A Cultivated Soil Surface By Rainfall. ECMS 2008 Proceedings edited by: L. S. Louca, Y. Chrysanthou, Z. Oplatkova, K. Al-Begain (pp. 285-291). European Council for Modeling and Simulation. doi:10.7148/2008-0285



Proteins play a vital role in maintaining the balance of bodily functions in all living beings. However their functional properties are difficult to predict since they depend not only on the sequence of constituent amino acids but also on the 3D folding of the protein. This paper presents a new statistical method for extraction of surface atoms of a protein. The method is based on space-voxelisation and generalizes our previous deterministic method by repeating the surface extraction process for various orientations of a protein; so as to achieve a statistical consensus about surface atoms. Based on the experimental study we have established an optimal range of values of voxel occupancy for the selection of surface atoms; with optimality defined as a maximum coincidence of extracted surface atoms from the protein presented to the algorithm in 13 different orientations. The results show that the voxel occupancy threshold of between >40% and >50% allows our algorithm to extract surface atoms with high degree of confidence.

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